add tf backend

README.md

@@ -36,4 +36,8 @@ The `senda` model achieves an accuracy of 0.77 and a macro-averaged F1-score of
 #### Contact
 Feel free to contact author Lars Kjeldgaard on [lars.kjeldgaard@eb.dk](mailto:lars.kjeldgaard@eb.dk).
 
+#### Shout-outs
+
+Props to [Malte Højmark-Berthelsen](mailto:hjb@kmd.dk) for pretraining Danish BERT and helping out adding a TensorFlow backend for `senda`.
+
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "./results/checkpoint-900",
+  "_name_or_path": ".",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -33,7 +33,7 @@
   "pooler_size_per_head": 128,
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
-  "transformers_version": "4.5.0",
+  "transformers_version": "4.6.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 32000

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:018cfd6b39364308b869c96c3a94fe78f01361722f56ed8beac3cc60bf11973d
+size 442766684